Information Retrieval using word2vec based Vector Space Model
Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based …
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Word2Vec
An Essential Guide to Pretrained Word Embeddings for NLP Practitioners
Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the …
Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used …
Must-Read Tutorial to Learn Sequence Modeling (deeplearning.ai Course #5)
This article is inspired by Deeplearning.ai course where we learn to solve sequence modeling problems and build attention based models.
An Introductory Guide to Understand how ANNs Conceptualize New Ideas (using Embedding)
This article helps you understand ANNs by showing how embedding works & helps you understand how important it is when you analyze unstructured data
Text Classification & Word Representations using FastText (An NLP library by Facebook)
Introduction If you put a status update on Facebook about purchasing a car -don’t be surprised if Facebook serves you a car ad on …
An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
ArticleAssess Yourself Introduction Before we start, have a look at the below examples. You open Google and search for a news article on the …
Kaggle Competitions: How and where to begin?
Introduction Do I have the necessary skills to take part in Kaggle Competitions? Did …
